Director, Data Science and Ai - New York, United States - Pfizer

Pfizer

Verified Company

New York, United States

2 weeks ago

Posted by:

Mark Lane

beBee recruiter

Description

We are looking for a Director, Data Science and AI who will be responsible creating and delivering data-driven insights and/or AI-powered analytics tools to Pfizer's Commercial organization and will either support a brand or therapeutic area or be part of a team designing, delivering, and upgrading innovative capabilities.

This includes influencing business partners and leading the execution and interpretation of AI/ML models, framing problems, and shaping solutions with clear and compelling communication of data-driven insights.

Product / Brand and Therapeutic Area (TA) Insights

Lead advanced analytical models, predictive algorithms, and AIpowered tools to extract actionable insights to drive US Commercial strategies and tactics.
Influence endtoend delivery of data science insights, from framing the business question, designing the solution, and delivering recommendations.
Break down technical concepts into digestible insights and guide diverse stakeholders how to interpret.
Continuously evaluate and enhance existing brand /TA data science capabilities, identifying opportunities for optimization and innovation to drive greater business impact and ROI.
Build strong relationships with key stakeholders, effectively communicating the value proposition of data science and fostering a culture of datadriven decisionmaking.

Collaborate Cross-Functionally as a Brand/TA Focused Analytics POD

Collaborate within the analytics POD, coordinating efforts with the Insight Strategy & Execution and Market Research Insights counterparts to develop and execute a comprehensive brand analytics plan.
Deliver consolidated insights and actionable recommendations to US Commercial teams, ensuring alignment with strategic objectives and insights findings.
Represent data science function and capabilities in Analytic POD meetings.
Work closely with crossfunctional teams to ensure seamless integration of brand analytics insights into decisionmaking processes and strategic initiatives.

Innovative Data Science Capabilities

Lead the design, delivery, and scaling of innovative solutions across the organization from pilot phases to fullscale implementation.
Drive the delivery process, leveraging agile methodologies and best practices to efficiently progress from pilot projects to scalable solutions, while maintaining a focus on quality and innovation.
Steer the upgrading and refining of capabilities based on feedback and insights gathered during pilot phases, continuously enhancing the effectiveness and relevance of implemented solutions.
Play a key role in the organizational transformation by championing innovation, fostering a culture of experimentation, and facilitating the adoption of new capabilities at scale.

Cross-Functional Collaboration

Work closely the Analytics Engineering to ensure the data ecosystem is conducive for data science modeling purposes.
Partner with Digital teams to enhance data science capabilities, aligning efforts to leverage digital data sources effectively.
Foster collaboration with teams to ensure seamless integration of data science initiatives across the organization's infrastructure, promoting efficiency and effectiveness in leveraging data for informed decisionmaking.

Qualifications:

Minimum of bachelor's degree with 10+ years of experience, preferably in engineering, economics, statistics, computer science, or related quantitative field.
Advanced degree with 5+ years of experience in Applied Econometrics, Statistics, Data Mining, Machine Learning, Analytics, Mathematics, Operations Research, Industrial Engineering, or related field preferred.
Extensive experience using data science models to solve problems in a business environment setting.
Experience with influencing commercial strategies and tactics, experience in pharmaceutical or healthcare industry is preferred.

Relevant Experience

Extensive expertise and experience with, both traditional SQL and modern NoSQL data stores including SQL, and largescale distributed systems such as Hadoop and or working in Snowflake/Databricks.
Strong experience with machine learning technology, such as: big data stack, Python, R, and visualization techniques.
Deep understanding of artificial intelligence concepts, experience with AI frameworks and libraries such as TensorFlow or PyTorch is also valuable.
Exceptional ability to connect, integrate and synthesize analysis and data into a meaningful 'so what' to drive concrete strategic recommendations for brand tactics.
Skilled of describing relevant caveats in data or in a model and how they relate to business question or recommendation.
Ability to be flexible, prioritize multiple demands and deal with ambiguity.

Competencies

Crossfunctional influence: Expert in creating strategic direction and velocity through winning and influencing business partners to make complex decisions that influence multiple business areas.
Growth Mindset: Eva